from huggingface_hub import HfApi from os import path from pathlib import Path import os class HFClient: def __init__(self, api_token, endpoint="https://huggingface.co"): self._api_token = api_token self._api = HfApi( endpoint=endpoint, # Can be a Private Hub endpoint. token=api_token, # Token is not persisted on the machine. ) def exec(self, method, *args, **kwargs): return self._api[method](*args, **kwargs) class HFRepository: def __init__(self, name, client, namespace=None, type=None, local_path=None): self._client = client self._name = name.strip() self._namespace = namespace.strip() if namespace is not None else None if(type is not None and type not in ['dataset', 'space', 'model']): raise Exception("Invalid repo type") self._type = type self.local_path = local_path @property def name(self): return self._name @property def namespace(self): return self._namespace @property def repoid(self): return "{0}/{1}".format(self.namespace, self.name) if self.namespace is not None else self.name @property def files(self): return self._client.list_repo_files(repo_id=self.repoid, repo_type=self._type) def create(self, **kwargs): #https://huggingface.co/docs/huggingface_hub/v0.27.1/en/package_reference/hf_api#huggingface_hub.HfApi.create_repo return self._client.create_repo(repo_id=self.repoid, repo_type=self._type, **kwargs) def download_file(self, name, local_path=None, **kwargs): local_path = self.local_path if local_path is None else local_path print("Downloading {0}".format(name)) return self._client.hf_hub_download(repo_id=self.repoid, repo_type=self._type, filename=name, local_dir=local_path, **kwargs) def download_folder(self, path, **kwargs): files = self.files folder_contents = filter(lambda x: x.startswith(path), files) results = [] for x in folder_contents: results.append(self.download_file(x)) return results def upload_file(self, file_or_path, repo_path): return self._client.upload_file( repo_id=self.repoid, repo_type=self._type, path_or_fileobj=file_or_path, path_in_repo=repo_path ) def upload_folder(self, folder_path, repo_path): local_files_path = filter(lambda x: path.isfile(path.join(folder_path, x)), os.listdir(folder_path)) results = [] for x in local_files_path: results.append(self.upload_file(path.join(folder_path, x), Path(repo_path, x).as_posix())) return results def main(): token = os.environ.get("HF_TOKEN", None) if token is None: raise Exception("No HF_TOKEN set") repository = os.environ.get("HF_REPO_NAME", "ts-dataset") repo_namespace = os.environ.get("HF_REPO_NAMESPACE", "uniko1") repo_type = os.environ.get("HF_REPO_TYPE", "dataset") target_folder = os.environ.get("REMOTE_PATH", None) local_path = os.environ.get("LOCAL_PATH", "./") if target_folder is None: raise Exception("No REMOTE_PATH set") api = HfApi(endpoint="https://huggingface.co", token=token) rep = HFRepository(repository, api, repo_namespace, "dataset", local_path=local_path) rep.download_folder(target_folder) if __name__ == "__main__": main()